Triple

T3749717
Position Surface form Disambiguated ID Type / Status
Subject Mudgee E81296 entity
Predicate nearbyTown P3883 FINISHED
Object Kandos E77333 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kandos | Statement: [Mudgee, nearbyTown, Kandos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kandos
Context triple: [Mudgee, nearbyTown, Kandos]
  • A. Kandos chosen
    Kandos is a small town in New South Wales, Australia, historically known for its cement industry and its location near the Capertee Valley and Wollemi National Park.
  • B. Gilgandra
    Gilgandra is a rural town in New South Wales, Australia, known as a service and agricultural centre on the western plains.
  • C. Coombabah
    Coombabah is a suburb on the Gold Coast in Queensland, Australia, known for its wetlands, nature reserve, and residential communities.
  • D. Jindabyne
    Jindabyne is a town in New South Wales, Australia, known as a major gateway to the Snowy Mountains ski fields and Kosciuszko National Park.
  • E. Kurri Kurri
    Kurri Kurri is a town in the Hunter Region of New South Wales, Australia, historically known for its coal mining industry and strong working-class heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad8b19b7b08190a6188804e99c53e9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb6d0ac4819092c9a41cc60f518d completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c6b2a488190a621cc223c673615 completed March 14, 2026, 8:29 a.m.
Created at: March 8, 2026, 3:35 p.m.